An uncertainty inversion technique using two-way neural network for parameter identification of robot arms-Reference-Cited by-同舟云学术

An uncertainty inversion technique using two-way neural network for parameter identification of robot arms

Published:2021-10-25 Issue:13 Volume:29 Page:3279-3304
ISSN:1741-5977
Container-title:Inverse Problems in Science and Engineering
language:en
Short-container-title:Inverse Problems in Science and Engineering

Author:

Duan Shuyong¹^ORCID,Shi Lutong¹^ORCID,Wang Li¹^ORCID,Liu Guirong²

Affiliation:

1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Mechanical Engineering, Hebei University of Technology, Tianjin, People’s Republic of China

2. Department of Aerospace Engineering and Engineering Mechanics, University of Cincinnati, Cincinnati, OH, USA

Funder

National Natural Science Foundation of China

The Funds for Creative Research Groups of Hebei Province

Tianjin Science and Technology Program

Key R & D Program of Hebei Province

State Key Laboratory of Structural Analysis for Industrial Equipment

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,General Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/17415977.2021.1988589

Reference61 articles.

1. Popper, Bayes and the inverse problem

2. Bayesian identification of a cracked plate using a population-based Markov Chain Monte Carlo method

3. A Bayesian approach to characterizing uncertainty in inverse problems using coarse and fine-scale information

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